Unit-vs-unit benchmarking
A leaderboard tells you who's winning; it doesn't tell you why. This playbook digs into what your top-quartile units are actually doing differently - staffing patterns, upsell rates, scheduling habits - and surfaces it so the rest of the fleet can copy what's working.
Rank units on your core KPIs
Start with whatever you already track - sales per labor hour, average ticket, food cost % - ranked across all locations.
Look for correlated behaviors, not just outcomes
The AI compares operational inputs (staffing levels, scheduling patterns, upsell frequency) between top and bottom quartile units to find what differs.
Turn findings into a playbook, not a shame list
Frame the output as 'here's what's working at Unit 12' for replication, not as a ranking to criticize underperformers.
Worth knowing
Correlation isn't causation - a top-quartile unit might be winning because of local demographics, not because of a replicable practice. Validate any suggested change on a small scale before rolling it out fleet-wide.